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Genetic algorithm based optimization of overcurrent relay coordination for improved protection of DFIG operated wind farms

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dc.citedby6
dc.contributor.authorRezaei N.en_US
dc.contributor.authorNasir Uddin M.en_US
dc.contributor.authorKhairul Amin I.en_US
dc.contributor.authorLutfi Othman M.en_US
dc.contributor.authorMarsadek M.en_US
dc.contributor.authorid57216077273en_US
dc.contributor.authorid55663372800en_US
dc.contributor.authorid10040907100en_US
dc.contributor.authorid55153333400en_US
dc.contributor.authorid26423183000en_US
dc.date.accessioned2023-05-29T06:50:09Z
dc.date.available2023-05-29T06:50:09Z
dc.date.issued2018
dc.descriptionAsynchronous generators; Electric relays; Electric utilities; Genetic algorithms; IEEE Standards; Overcurrent protection; Wind power; Intelligent Algorithms; Nonlinear characteristics; Novel genetic algorithm; Overcurrent relay coordination; Overcurrent relays; Power system protection; Relay coordination; Wind farm; Electric power system protectionen_US
dc.description.abstractRigorous protection of wind power plants is an immensely momentous aspect in electrical power protection engineering which must be contemplated thoroughly during designing the wind plants to afford a proper protection for power components in case of fault occurrence. The most commodious protection apparatus are overcurrent relays (OCRs) which are responsible for protecting power systems from impending faults. These relays are set and coordinated with each other by applying IEEE or IEC standards methods, however, their operation times are relatively long and the coordination between these relays are critical. The other common problem in wind farm protection systems is when a fault occurs in a plant, several OCRs operate instead of a designated relay to that particular fault location. This undesirable action can result in unnecessary power loss and disconnection of healthy feeders out of the plant which is extremely dire. Therefore, this research proposes a novel genetic algorithm (GA) based optimization for proper coordination of OCRs to improve their functions for protection of wind farms. GA optimization technique has some advantages over other intelligent algorithms including high accuracy, fast response and most importantly achieving optimal solutions for nonlinear characteristics of OCRs. In this work the improvement in protection of wind farm is achieved through optimizing the relay settings, reducing their operation time, time setting multiplier of each relay, improving the coordination between relays after implementation of IEC 60255-151:2009 standard. It is found that the new approach achieves significant improvement in operation of OCRs at the wind farm and drastically reduces the accumulative operation time of the relays. � 2018 IEEEen_US
dc.description.natureFinalen_US
dc.identifier.ArtNo8544534
dc.identifier.doi10.1109/IAS.2018.8544534
dc.identifier.scopus2-s2.0-85059948055
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85059948055&doi=10.1109%2fIAS.2018.8544534&partnerID=40&md5=9685140b828e84e06a92d79099a48df0
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23540
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofAll Open Access, Green
dc.sourceScopus
dc.sourcetitle2018 IEEE Industry Applications Society Annual Meeting, IAS 2018
dc.titleGenetic algorithm based optimization of overcurrent relay coordination for improved protection of DFIG operated wind farmsen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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